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This lecture discusses the importance of data preparedness in disaster response, emphasizing the need for accurate and reliable data collection before disasters. It explores identifying information needs, establishing standards for data collection, and building local capacity. The lecture also addresses information gaps and overloads faced by different groups involved in disaster response, highlighting the challenges of heterogeneous data sources and outdated information. Strategies for addressing these challenges include leveraging science and technology for data visualization, integration, and utilizing mobile technologies for data collection in developing countries.